Abstract
Transform coding tools in video coding have traditionally relied on the Discrete Cosine Transform Type II (DCT-II) to map residual signals to a new domain where quantization and entropy coding tools achieve a better coding efficiency than in the spatial domain. However, the DCT-II is not sufficient to model all different types of residual signals efficiently, especially in the intra-predicted blocks case. For this reason, the DST-VII was introduced in H.265/High Efficiency Video Coding (HEVC) in order to improve the compression performance of 4 × 4 intra-predicted blocks. In this paper we propose a multiple core transform approach, in which each transform is separable and generated by combining two one-dimensional transforms for the vertical and horizontal directions. The pair of 1-D transforms is selected from a set of three different types of Discrete Trigonometric Transforms and the Identity Transformation. Test results show that the proposed algorithm achieves bit rate reductions of 3% on average with respect to HEVC for intra-predicted residuals.
Original language | English |
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Title of host publication | 2016 Picture Coding Symposium, PCS 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509059669 |
DOIs | |
Publication status | Published - 2017 Apr 19 |
Externally published | Yes |
Event | 2016 Picture Coding Symposium, PCS 2016 - Nuremberg, Germany Duration: 2016 Dec 4 → 2016 Dec 7 |
Publication series
Name | 2016 Picture Coding Symposium, PCS 2016 |
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Other
Other | 2016 Picture Coding Symposium, PCS 2016 |
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Country/Territory | Germany |
City | Nuremberg |
Period | 16/12/4 → 16/12/7 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Discrete Trigonometric Transforms
- Intra Coding
- Multiple Transforms
- Separable Transforms
- Transform Coding
ASJC Scopus subject areas
- Media Technology
- Signal Processing